Measuring health outcomes of a multidisciplinary care approach in individuals with chronic environmental conditions using an abbreviated symptoms questionnaire
Bibliographic record
Abstract
The Nova Scotia Environmental Health Centre is a treatment facility for individuals with chronic environmental conditions such as multiple chemical sensitivity, chronic fatigue syndrome, fibromyalgia, chronic respiratory conditions and in some cases chronic pain. The premise of care is to provide a patient-centred multidisciplinary care approach leading to self-management strategies. In order to measure the outcome of the treatment in these complex problems, with overlapping diagnoses, symptoms in many body systems and suspected environmental triggers, a detailed symptoms questionnaire was developed specifically for this patient population and validated. Results from a pilot study in which an abbreviated symptoms questionnaire based on the top reported symptoms captured in previous research was used to measure the efficacy of a multidisciplinary care approach in individuals with multiple chemical sensitivity are presented in this paper. The purpose of this study was to examine the extent, type and patterns of changes over time in the top reported symptoms with treatment measured using the abbreviated symptoms questionnaire. A total of 183 active and 109 discharged patients participated in the study where the health status was measured at different time periods of follow up since the commencement of treatment at the Centre. The findings from this study were successful in generating an initial picture of the nature and type of changes in these symptoms. For instance, symptoms such as difficulty concentrating, sinus conditions and tiredness showed early improvement, within the first 6 months of being in treatment, while others, such as fatigue, hoarseness or loss of voice, took longer while others showed inconsistent changes warranting further enquiry. A controlled longitudinal study is planned to confirm the findings of the pilot study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".